Research
Publications
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- Scalable Diffusion for Materials Generation
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- Sociotechnical Safety Evaluation of generative AI systems
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- DyST: Towards Dynamic Neural Scene Representations on Real-World Videos
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- Learning Interactive Real-World Simulator
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- Step-Back Prompting Enables Reasoning via Abstraction in Large Language Models
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- Repelling Random Walks
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- Universal Graph Random Features
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- Assessing LLMs on Climate Information
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- An Impossibility Theorem in Game Dynamics
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- Large Language Models as Analogical Reasoners
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- Large Language Models Cannot Self-Correct Reasoning Yet
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- 3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation
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- TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement
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- Theoretical and Practical Perspectives on what Influence Functions Do
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- Tracr: Compiled Transformers as a Laboratory for Interpretability
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- Self-Predictive Universal AI
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- Accurate proteome-wide missense variant effect prediction with AlphaMissense
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- Massively Scalable Inverse Reinforcement Learning for Route Optimization
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- Estimating Gibbs free energies via isobaric-isothermal flows
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